K-Means is one of the simplest and most popular clustering algorithms in data science. It divides data based on its proximity to one of the K so-called centroids - data points that are the mean of all of the observations in the cluster. An observation is a single record
A* is a heuristic path searching graph algorithm. This means that given a weighed graph, it outputs the shortest path between two given nodes.
The algorithm is guaranteed to terminate for finite graphs with non-negative edge weights. Additionally, if you manage to ensure certain properties when designing your heuristic
Spelling mistakes are common, and most people are used to software indicating if a mistake was made. From autocorrect on our phones, to red underlining in text editors, spell checking is an essential feature for many different products.
The first program to implement spell checking was written in 1971
The constant growth of data on the Internet creates a demand for tools that process textual information.
Moreover, it's highly important that this instrument of text analysis could implement solutions for both low and high-level NLP tasks such as counting word frequencies, calculating sentiment analysis of the texts or
This tutorial is an introduction to a simple optimization technique called gradient descent, which has seen major application in state-of-the-art machine learning models.
We'll develop a general purpose routine to implement gradient descent and apply it to solve different problems, including classification via supervised learning.
In this process, we'll
State-of-the-art technologies in NLP allow us to analyze natural languages on different layers: from simple segmentation of textual information to more sophisticated methods of sentiment categorizations.
However, it does not inevitably mean that you should be highly advanced in programming to implement high-level tasks such as sentiment analysis in
The amount of textual data on the Internet has significantly increased in the past decades. There's no doubt that the processing of this amount of information must be automated, and the TextBlob package is one of the fairly simple ways to perform NLP - Natural Language Processing.
It provides
Facial detection is a powerful and common use-case of Machine Learning. It can be used to automatize manual tasks such as school attendance and law enforcement. In the other hand, it can be used for biometric authorization.
In this article, we'll perform facial detection in Python, using OpenCV.
